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@ -272,8 +272,10 @@ print(" PRINT")
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# Yield prediction
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# Yield prediction
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The below table shows estimates of the biomass if you would harvest them now.
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The below table shows estimates of the biomass if you would harvest them now.
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```{r eval=FALSE, message=FALSE, warning=FALSE, include=TRUE}
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CI_quadrant <- readRDS(here(cumulative_CI_vals_dir,"All_pivots_Cumulative_CI_quadrant_year_v2.rds"))
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```{r message=FALSE, warning=FALSE, include=FALSE}
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CI_quadrant <- readRDS(here(cumulative_CI_vals_dir,"All_pivots_Cumulative_CI_quadrant_year_v2.rds"))
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harvesting_data <- harvesting_data %>% rename(season = year)
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harvesting_data <- harvesting_data %>% rename(season = year)
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@ -330,7 +332,7 @@ pred_rf_current_season <- prepare_predictions(predict(model_ffs_rf, newdata = pr
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mutate(CI_per_day = round(total_CI / Age_days, 1))
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mutate(CI_per_day = round(total_CI / Age_days, 1))
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```
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```
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```{r yield_plaatjes, eval=FALSE, include=TRUE}
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```{r yield_plaatjes, echo=FALSE }
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ggplot(pred_ffs_rf, aes(y = predicted_Tcha, x = tonnage_ha, col = sub_area)) +
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ggplot(pred_ffs_rf, aes(y = predicted_Tcha, x = tonnage_ha, col = sub_area)) +
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geom_point(size = 2, alpha = 0.6) + # Adjust point size and transparency
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geom_point(size = 2, alpha = 0.6) + # Adjust point size and transparency
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geom_abline(intercept = 0, slope = 1, linetype = "dashed", color = "red") + # Reference line
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geom_abline(intercept = 0, slope = 1, linetype = "dashed", color = "red") + # Reference line
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r_app/Rplots.pdf
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